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Anshori & Dimas Engineering: Data Idealita vs Realita

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Indonesia is the 2nd largest 30.2 million ponds 3.3 million fish farmers $38bn Rest of World $128bn Asia Global Aquaculture Production 2014 Fastest growing food sector in the world

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80% of the total cost is feeding

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Inefficient and unskilled human labour Over feeding Feed stealing One of the biggest negative environmental impact Hurting the profit, no accountability

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CURRENT FEEDERS SHRIMP FEEDER FISH FEEDER

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MOBILE BASED CONTROL CLOUD BASED DATA AUTOMATIC FEEDING

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Idealita vs Realita

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2009 2019 #10YearsChallenge

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Data Science vs “Data Science” SCIENTIFIC METHOD ~~DATA MINING~~ BI ??? BUZZ WORDS

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Existing Tools + Method vs DIY DEVICE IMPLEMEN TATION MATH ! CODING !

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Data Available vs Data 404 Not Found TOOLS & TIME INCOMPLETE DATA GATHERING

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Clean Data vs Real Data COMPROMISE ? JUST GET DATA SENSOR? NOISE! CORRECTION?

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Big Data vs Multi Data ETL DATA ON ALL FORMS CREATE OUR OWN TOOLS

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Well Formatted vs What The H*ll ERROR TYPO CREATE OUR OWN TOOLS

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80 vs 20 ACCURACY DATA QUALITY

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Anshori’s Perspective “I am the one responsible for the change I want to see” … the notion of “data science” itself, aims to bridge the gap ...

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Dimas’ Perspective In this modern world … data scientist can’t be just a data scientist … data science is a continuous long process since day zero until forever

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Data Challenge

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Data Challenge - Mr Dimanshori adalah head of data scientist di PT Maju Semoga Laku - Mengajak kalian menjadi anggota tim data scientist beliau - Untuk membuat sebuah intelligence system yang dapat mendeteksi apakah ikan di kolam sedang makan atau sedang tidak makan - Dari sebuah sensor accelerometer yang mengapung di permukaan kolam - Sensor ini membaca gerakan riak air kolam

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Data Challenge - Mr Dimanshori telah bawa sensor ke kolam Amazon Brazil Utara dan mengambil data ikan piranha sedang makan dan tidak makan - Karena Mr Dimanshori orangnya baik hati, beliau juga telah memberi label pada datanya - Contohnya yaitu sebagai berikut: data_contoh.csv plot_contoh.png bit.ly/dqlabefishery_data

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Data Challenge Task dari Mr Dimanshori adalah minta dibuatkan: • Eksplorasi data secara visual • program (klasifikasi) seperti ini: program_mr_dimanshori.py

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Data Challenge Hints - How to extract features from signal data - Signal framing (recommended: 104 samples) - Overlap (recommended: 50%) - Processing menggunakan FFT/wavelets tidak begitu perlu, kalau sempat saja -Classifier - Try all: Probabilistic, Nearest neighbor, Tree, Linear, Non-linear, Deep learning - Search best model and best parameters -Use scientific process - Build hypothesis - Research: googling, lookup papers, tentang semua hal terkait - Experiments: modif, mixing, comes up dengan sesuatu yang kreatif - Evaluasi: performance review, analysis what/why works and doesn’t work - Write conclusion

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Dua orang report ke Mr Dimanshori